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cloud-sql-postgres-vectorassist

Skill

Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.

0Databases

Install

git clone https://github.com/gemini-cli-extensions/cloud-sql-postgresql.git ~/.claude/skills/cloud-sql-postgres-vectorassist

What is cloud-sql-postgres-vectorassist?

Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~34 tokens of context used while enabled, before you invoke anything

Documentation

README · ~8 min read

Usage

All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.

Bash: node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'

PowerShell: node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'

Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.

Scripts

apply_spec

This tool automatically executes all the SQL recommendations associated with a specific vector specification (spec_id) or table. It runs the necessary commands in the correct sequence to provision the workload, marking each step as applied once successful. Use this tool when the user has reviewed the generated recommendations from a defined (or modified) spec and is ready to apply the changes directly to their database instance to finalize the vector search setup. This tool can be used as a follow-up action after invoking the 'define_spec' or 'modify_spec' tool.

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